V
Vivek Narayan
Researcher at Brigham and Women's Hospital
Publications - 46
Citations - 3927
Vivek Narayan is an academic researcher from Brigham and Women's Hospital. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 9, co-authored 16 publications receiving 2045 citations. Previous affiliations of Vivek Narayan include Harvard University & Boston Children's Hospital.
Papers
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Journal ArticleDOI
Computational Radiomics System to Decode the Radiographic Phenotype
Joost J. M. van Griethuysen,Joost J. M. van Griethuysen,Joost J. M. van Griethuysen,Andriy Fedorov,Chintan Parmar,Ahmed Hosny,Nicole Aucoin,Vivek Narayan,Regina G. H. Beets-Tan,Regina G. H. Beets-Tan,Jean-Christophe Fillion-Robin,Steve Pieper,Hugo J.W.L. Aerts +12 more
TL;DR: PyRadiomics, a flexible open-source platform capable of extracting a large panel of engineered features from medical images, is developed and its application in characterizing lung lesions is demonstrated.
Journal ArticleDOI
Radiomic phenotype features predict pathological response in non-small cell lung cancer.
Thibaud P. Coroller,Vishesh Agrawal,Vivek Narayan,Ying Hou,Patrick Grossmann,Stephanie W. Lee,Raymond H. Mak,Hugo J.W.L. Aerts +7 more
TL;DR: Predictive radiomic features for pathological response are identified, although no conventional features were significantly predictive, which demonstrates that radiomics can provide valuable clinical information, and performed better than conventional imaging features.
Journal ArticleDOI
Radiomic-Based Pathological Response Prediction from Primary Tumors and Lymph Nodes in NSCLC
Thibaud P. Coroller,Vishesh Agrawal,Elizabeth Huynh,Vivek Narayan,Stephanie W. Lee,Raymond H. Mak,Hugo J.W.L. Aerts +6 more
TL;DR: Lymph node phenotypic information was significantly predictive for pathological response and showed higher classification performance than radiomic features obtained from the primary tumor.
Journal ArticleDOI
CT-based radiomic analysis of stereotactic body radiation therapy patients with lung cancer.
Elizabeth Huynh,Thibaud P. Coroller,Vivek Narayan,Vishesh Agrawal,Ying Hou,John Romano,Idalid Franco,Raymond H. Mak,Hugo J.W.L. Aerts +8 more
TL;DR: Radiomic features have potential to be prognostic for some outcomes that conventional imaging metrics cannot predict in SBRT patients, as demonstrated by exploratory analysis of pre-treatment CT scans.
Journal ArticleDOI
Radiographic prediction of meningioma grade by semantic and radiomic features
Thibaud P. Coroller,Wenya Linda Bi,Wenya Linda Bi,Elizabeth Huynh,Malak Abedalthagafi,Malak Abedalthagafi,Ayal A. Aizer,Noah F. Greenwald,Chintan Parmar,Vivek Narayan,Winona W. Wu,Samuel Miranda de Moura,Saksham Gupta,Rameen Beroukhim,Patrick Y. Wen,Ossama Al-Mefty,Ian F. Dunn,Sandro Santagata,Brian M. Alexander,Raymond Y. Huang,Hugo J.W.L. Aerts +20 more
TL;DR: A strong association between imaging features of meningioma and histopathologic grade is found, with ready application to clinical management, and combining qualitative and quantitative radiographic features significantly improved classification power.